This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own.
The author, David A.
Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality.
The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables.
The bootstrap is developed as a technique for estimating bias and computing standard errors.
Careful attention is paid to the principles of statistical inference.
There is background material on study design, bivariate regression, and matrix algebra.
To develop technique, there are computer labs with sample computer programs.
The book is rich in exercises, most with answers.
Target audiences include advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.
The discussion in the book is organized around published studies, as are many of the exercises.
Relevant journal articles are reprinted at the back of the book.
Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples.
He illustrates the principles of modeling, and the pitfalls.
The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena.
Features of the book: ? authoritative guidance from a well-known author with wide experience in teaching, research, and consulting ? careful analysis of statistical issues in substantive applications ? no-nonsense, direct style ? versatile structure, enabling the text to be used as a text in a course, or read on its own ? text that has been thoroughly class-tested at Berkeley ? background material on re.
A+.
This book is a great balance between intuitive examples and solid mathematical theories. I hope I could read this books several years ago.
Clear, concise coverage of core statistical topics. Lots of examples to work through, with answers to most of them included.
David G. Faucher
David Smith
David Kenning
David Jiménez
Paḳsher, Menaḥem Mendel ben Daṿid ha-Kohen
David J. Griffiths
David Harrison
Many less developed countries are expanding their tourism industries and these are seen to be crucial to their economic development.
David Ritz
David Dilks
David Jaques
David Gleyre Richards
David Samson
David Gatward
Gemmell, David
David Ebershoff
David de Rothschild
David Macinnis Gill
Durango has always relied on mimi--once his tough-as-nails squad leader, she is now the bitingly sarcastic artificial intelligence flash-cloned to his brain.
David P. Jenkins
What are the limits for well-designed building performance models?
David Israel
The rich, unbridled, never before told story of the world's winningest and most charismatic horse trainer, bob baffert, and his journey to not once but twice capture the triple crown, a feat that in all of horse racing is the ultimate holy grail.
David Smyth
David Sanderson
David Ramirez
David Ramirez
David Kerr
David Kerr
David Goldfischer
David McRaney
A myth-shattering exploration of the science and the secrets of changing minds faster than we ever thought possiblewhy do people suddenly join cults?
David Howells
David Sheff
David Goldfischer
David Perlmutter
Renowned neurologist dr david perlmutter, blows the lid off a topic that's been buried in medical literature for far too long: gluten and carbs are destroying your brain.
David Mark
David A. Kolb
Experiential learning is helping to revolutionize education wherever it takes place: in schools, in businesses, and throughout life.
David A. deSilva
David Savill
In 1994, marko novak's world is torn apart by the death of his best friend, kemal, a young soldier in the darkest days of the bosnian war.
David Triesman
David Dickinson
David Olson
Hackworth, David H Colonel.
The commanding officer of an infantry battalion in vietnam in 1969 recounts how he took over a demoralized unit of ordinary draftees and turned it into an elite fighting force, and describes its accomplishments.
David Lewman
David Lavender
David Beasley
This fascinating collection of over 180 black and white and colour images shows, in fine detail, some of the changes that have taken place in the ancient market town of wallingford over a period of more than 150 years.
Cooper, David E.
From plato to quine, this volume provides a concise collection of the essential, classic readings in theory of knowledge.
David Punter
David C. Goodman
David Beasley
The town of wallingford in oxfordshire has a rich and fascinating history.
David Swidenbank
The south wales seaside town of porthcawl, once a major holiday resort and famed for its grand pavilion, has been transformed into a thriving surfing spot attracting keen surfers from around the uk to take part in national and regional competitions.
David Harvey
Throughout their existence from 1904 until 1981, the birmingham & midland motor omnibus company were an idiosyncratic operator whose area of operations ranged from the welsh marches and shropshire in the west to northamptonshire and rutland in the east and from oxfordshire and gloucestershire in the south to staffordshire and derbyshire in the north.
David Eagleman
David Loades
Daughter of henry viii, half-sister to the future elizabeth i, the dramatic story of the first woman to rule england - and the cruel fate of those who opposed her iron will.
David R. Hawkins
This, the sixth book in a progressive series by the author, finalizes and further clarifies the true nature and core of the condition termed “enlightenment.
David Freeman
David Perlmutter
The devastating truth about the effects of wheat, sugar, and carbs on the brain, with a 4-week plan to achieve optimum health.
David W. Dodick
Thomas P. Wangler
Nalini Ravishanker
Craig A. Tovey
Nalini Ravishanker
Crista Arangala
exploring linear algebra: labs and projects with matlab(r) is a hands-on lab manual that can be used by students and instructors in classrooms every day to guide the exploration of the theory and applications of linear algebr.
Jeff Gill
The success of the first edition of generalized linear models led to the updated second edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data.
Daizhan Cheng
From dimension-free matrix theory to cross-dimensional dynamic systems illuminates the underlying mathematics of semi-tensor product (stp), a generalized matrix product that extends the conventional matrix product to two matrices of arbitrary dimen.
Howard Anton
elementary linear algebra 12th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students.
Al Cuoco
Frederick P. Greenleaf
Crista Arangala
exploring linear algebra: labs and projects with matlab(r) is a hands-on lab manual that can be used by students and instructors in classrooms every day to guide the exploration of the theory and applications of linear algebr.
D. R. Fulkerson
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Tertulien Ndjountche
The book presents design methods for analog integrated circuits with improved electrical performance.
Wai-Kai Chen
Standard-setting, groundbreaking, authoritative, comprehensive--these often overused words perfectly describe the circuits and filters handbook, third edition.
Shankar P. Bhattacharyya
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Stephen H. Friedberg
Francesco Borrelli
Model predictive control (mpc), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book.
Tertulien Ndjountche
With a focus on designing and verifying cmos analog integrated circuits, the book reviews design techniques for mixed-signal building blocks, such as nyquist and oversampling data converters, and circuits for signal generation, synthesis, and recovery.
James W. Hardin
Generalized linear models and extensions, second edition provides a comprehensive overview of the nature and scope of generalized linear models (glms) and of the major changes to the basic glm algorithm that allow modeling of data that violate glm distrib.
Lin Weng
This book provides a systematic account of several breakthroughs in the modern theory of zeta functions.
James R. Kirkwood
Linear algebra is an important part of pure mathematics, and is needed for applications in every part of mathematics, natural science and economics.
Aleksandr Aravkin
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
Michael J. Panik
Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposaluseful as a main resource or as a supplement in an economics or manageme.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Adrian G. Barnett
Tertulien Ndjountche
With a focus on designing and verifying cmos analog integrated circuits, the book reviews design techniques for mixed-signal building blocks, such as nyquist and oversampling data converters, and circuits for signal generation, synthesis, and recovery.
Daniele Bertaccini
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Tertulien Ndjountche
Henri Bourlès
Youngjo Lee
Since their introduction, hierarchical generalized linear models (hglms) have proven useful in various fields by allowing random effects in regression models.
Ron Larson
Paul R. Halmos
Youngjo Lee
Since their introduction, hierarchical generalized linear models (hglms) have proven useful in various fields by allowing random effects in regression models.
David C. Mello
invitation to linear algebra is an informative, clearly written, flexible textbook for instructors and students.
Lee W. Johnson
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text..
Francesco Borrelli
Model predictive control (mpc), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book.
C. Henry Edwards
Note: this edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version.
Qingwen Hu
Concise introduction to linear algebra deals with the subject of linear algebra, covering vectors and linear systems, vector spaces, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition.
Lawrence E. Spence
John F. Monahan
Willem Adriaan de Graaf
Designed as a self-contained account of a number of key algorithmic problems and their solutions for linear algebraic groups, this book combines in one single text both an introduction to the basic theory of linear algebraic groups and a substantial colle.
Holger Wendland
This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.
Lee Johnson
Introduction to linear algebra, sixth edition, is a foundation text that bridges both practical computation and theoretical principles.
Ron Larson
Elementary linear algebra is written for the first undergraduate course.
Richard C. Penney
Jude Thaddeus Socrates
Marvin H. J. Gruber
Provides an easy-to-understand guide to statistical linear models and its uses in data analysis this book defines a broad spectrum of statistical linear models that is useful in the analysis of data.
Graham J. G. Upton
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying r codethis book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicate.
Kristopher Tapp
Matrix groups are a beautiful subject and are central to many fields in mathematics and physics.
Kentaro Tanaka
this book is the first to be devoted to the fusion between statistical causal inference and mathematical programming.
Stephen Andrilli
Elementary linear algebra's clear, careful, and concise presentation of material helps you fully understand how mathematics works.